ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task1_organization

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6812
  • Qwk: 0.6421
  • Mse: 0.6812
  • Rmse: 0.8254

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0392 2 5.4085 -0.0205 5.4085 2.3256
No log 0.0784 4 3.2002 0.0465 3.2002 1.7889
No log 0.1176 6 1.9635 0.0780 1.9635 1.4012
No log 0.1569 8 1.7383 0.0789 1.7383 1.3185
No log 0.1961 10 1.8646 -0.0505 1.8646 1.3655
No log 0.2353 12 2.1819 -0.0531 2.1819 1.4771
No log 0.2745 14 2.3378 -0.0618 2.3378 1.5290
No log 0.3137 16 1.5231 0.0849 1.5231 1.2341
No log 0.3529 18 1.3673 0.1196 1.3673 1.1693
No log 0.3922 20 1.5389 0.1041 1.5389 1.2405
No log 0.4314 22 2.1842 -0.0591 2.1842 1.4779
No log 0.4706 24 2.7145 0.0271 2.7145 1.6476
No log 0.5098 26 2.1555 0.0637 2.1555 1.4681
No log 0.5490 28 1.5082 0.1855 1.5082 1.2281
No log 0.5882 30 1.2908 0.2082 1.2908 1.1361
No log 0.6275 32 1.3402 0.1960 1.3402 1.1577
No log 0.6667 34 1.5427 0.1936 1.5427 1.2421
No log 0.7059 36 1.5174 0.2470 1.5174 1.2318
No log 0.7451 38 1.2896 0.3696 1.2896 1.1356
No log 0.7843 40 1.0222 0.4777 1.0222 1.0110
No log 0.8235 42 1.1101 0.5118 1.1101 1.0536
No log 0.8627 44 1.5127 0.3736 1.5127 1.2299
No log 0.9020 46 1.3398 0.4137 1.3398 1.1575
No log 0.9412 48 1.3037 0.4465 1.3037 1.1418
No log 0.9804 50 1.4556 0.4186 1.4556 1.2065
No log 1.0196 52 1.4772 0.3951 1.4772 1.2154
No log 1.0588 54 1.4379 0.4410 1.4379 1.1991
No log 1.0980 56 1.1066 0.4832 1.1066 1.0520
No log 1.1373 58 0.8978 0.5233 0.8978 0.9475
No log 1.1765 60 0.8757 0.4786 0.8757 0.9358
No log 1.2157 62 0.8444 0.4916 0.8444 0.9189
No log 1.2549 64 0.8818 0.4951 0.8818 0.9390
No log 1.2941 66 0.9208 0.5012 0.9208 0.9596
No log 1.3333 68 0.9253 0.5176 0.9253 0.9619
No log 1.3725 70 0.8041 0.5806 0.8041 0.8967
No log 1.4118 72 0.8593 0.5862 0.8593 0.9270
No log 1.4510 74 0.8444 0.5919 0.8444 0.9189
No log 1.4902 76 0.8507 0.6282 0.8507 0.9223
No log 1.5294 78 0.9179 0.6314 0.9179 0.9581
No log 1.5686 80 0.8645 0.6400 0.8645 0.9298
No log 1.6078 82 0.8703 0.6245 0.8703 0.9329
No log 1.6471 84 0.8880 0.6198 0.8880 0.9423
No log 1.6863 86 0.9266 0.6165 0.9266 0.9626
No log 1.7255 88 1.0569 0.5770 1.0569 1.0281
No log 1.7647 90 1.0897 0.5611 1.0897 1.0439
No log 1.8039 92 0.9356 0.5361 0.9356 0.9673
No log 1.8431 94 0.9024 0.5481 0.9024 0.9500
No log 1.8824 96 0.8930 0.5382 0.8930 0.9450
No log 1.9216 98 0.8798 0.5466 0.8798 0.9380
No log 1.9608 100 0.8693 0.5189 0.8693 0.9323
No log 2.0 102 0.8588 0.4959 0.8588 0.9267
No log 2.0392 104 0.8513 0.5407 0.8513 0.9227
No log 2.0784 106 0.8649 0.5572 0.8649 0.9300
No log 2.1176 108 0.8704 0.5485 0.8704 0.9329
No log 2.1569 110 0.8681 0.5499 0.8681 0.9317
No log 2.1961 112 0.8709 0.6256 0.8709 0.9332
No log 2.2353 114 0.9052 0.6033 0.9052 0.9514
No log 2.2745 116 0.9082 0.6107 0.9082 0.9530
No log 2.3137 118 0.9186 0.6112 0.9186 0.9584
No log 2.3529 120 1.0376 0.5778 1.0376 1.0186
No log 2.3922 122 1.1973 0.5423 1.1973 1.0942
No log 2.4314 124 1.0119 0.5920 1.0119 1.0059
No log 2.4706 126 0.8760 0.6143 0.8760 0.9359
No log 2.5098 128 0.8789 0.6726 0.8789 0.9375
No log 2.5490 130 0.8411 0.6294 0.8411 0.9171
No log 2.5882 132 0.9395 0.6052 0.9395 0.9693
No log 2.6275 134 0.8869 0.6203 0.8869 0.9418
No log 2.6667 136 0.9709 0.5743 0.9709 0.9854
No log 2.7059 138 1.0764 0.5287 1.0764 1.0375
No log 2.7451 140 0.8794 0.5822 0.8794 0.9377
No log 2.7843 142 0.8745 0.6275 0.8745 0.9351
No log 2.8235 144 0.8922 0.6018 0.8922 0.9445
No log 2.8627 146 0.8114 0.6055 0.8114 0.9008
No log 2.9020 148 0.7901 0.6212 0.7901 0.8889
No log 2.9412 150 0.8003 0.6228 0.8003 0.8946
No log 2.9804 152 0.8061 0.6302 0.8061 0.8978
No log 3.0196 154 0.8002 0.6291 0.8002 0.8945
No log 3.0588 156 0.8196 0.6967 0.8196 0.9053
No log 3.0980 158 0.8495 0.6786 0.8495 0.9217
No log 3.1373 160 0.8336 0.6792 0.8336 0.9130
No log 3.1765 162 0.9171 0.6191 0.9171 0.9576
No log 3.2157 164 0.9209 0.6225 0.9209 0.9596
No log 3.2549 166 0.8300 0.6451 0.8300 0.9110
No log 3.2941 168 0.7741 0.6458 0.7741 0.8798
No log 3.3333 170 0.7545 0.6415 0.7545 0.8686
No log 3.3725 172 0.8083 0.6431 0.8083 0.8991
No log 3.4118 174 0.9863 0.5865 0.9863 0.9931
No log 3.4510 176 0.9879 0.5789 0.9879 0.9939
No log 3.4902 178 0.8193 0.5962 0.8193 0.9051
No log 3.5294 180 0.7149 0.6839 0.7149 0.8455
No log 3.5686 182 0.7311 0.6929 0.7311 0.8551
No log 3.6078 184 0.7224 0.7040 0.7224 0.8499
No log 3.6471 186 0.7155 0.7015 0.7155 0.8458
No log 3.6863 188 0.7587 0.6262 0.7587 0.8711
No log 3.7255 190 0.7592 0.6628 0.7592 0.8713
No log 3.7647 192 0.7552 0.6943 0.7552 0.8690
No log 3.8039 194 0.7685 0.6969 0.7685 0.8766
No log 3.8431 196 0.7786 0.6727 0.7786 0.8824
No log 3.8824 198 0.8953 0.6199 0.8953 0.9462
No log 3.9216 200 1.0386 0.5790 1.0386 1.0191
No log 3.9608 202 1.0353 0.5915 1.0353 1.0175
No log 4.0 204 0.9688 0.6038 0.9688 0.9843
No log 4.0392 206 0.8972 0.6362 0.8972 0.9472
No log 4.0784 208 0.8108 0.6666 0.8108 0.9005
No log 4.1176 210 0.7685 0.6729 0.7685 0.8767
No log 4.1569 212 0.7373 0.6554 0.7373 0.8587
No log 4.1961 214 0.7083 0.7028 0.7083 0.8416
No log 4.2353 216 0.7191 0.6989 0.7191 0.8480
No log 4.2745 218 0.7067 0.7028 0.7067 0.8407
No log 4.3137 220 0.7504 0.6042 0.7504 0.8663
No log 4.3529 222 0.7893 0.6238 0.7893 0.8884
No log 4.3922 224 0.7578 0.6361 0.7578 0.8705
No log 4.4314 226 0.7403 0.6854 0.7403 0.8604
No log 4.4706 228 0.7687 0.6600 0.7687 0.8768
No log 4.5098 230 0.7698 0.6722 0.7698 0.8774
No log 4.5490 232 0.6976 0.7190 0.6976 0.8353
No log 4.5882 234 0.7365 0.6195 0.7365 0.8582
No log 4.6275 236 0.8182 0.6269 0.8182 0.9046
No log 4.6667 238 0.9102 0.5950 0.9102 0.9540
No log 4.7059 240 0.8813 0.6101 0.8813 0.9388
No log 4.7451 242 0.7644 0.6135 0.7644 0.8743
No log 4.7843 244 0.7330 0.6183 0.7330 0.8561
No log 4.8235 246 0.6771 0.6408 0.6771 0.8229
No log 4.8627 248 0.6787 0.6496 0.6787 0.8238
No log 4.9020 250 0.7708 0.5965 0.7708 0.8779
No log 4.9412 252 0.8941 0.5814 0.8941 0.9456
No log 4.9804 254 0.8425 0.6151 0.8425 0.9179
No log 5.0196 256 0.8152 0.5919 0.8152 0.9029
No log 5.0588 258 0.7141 0.6041 0.7141 0.8451
No log 5.0980 260 0.6755 0.6351 0.6755 0.8219
No log 5.1373 262 0.7069 0.6153 0.7069 0.8407
No log 5.1765 264 0.7432 0.6057 0.7432 0.8621
No log 5.2157 266 0.8102 0.6216 0.8102 0.9001
No log 5.2549 268 0.7451 0.6177 0.7451 0.8632
No log 5.2941 270 0.6741 0.6578 0.6741 0.8210
No log 5.3333 272 0.6887 0.6530 0.6887 0.8299
No log 5.3725 274 0.7480 0.6137 0.7480 0.8648
No log 5.4118 276 0.8298 0.6235 0.8298 0.9109
No log 5.4510 278 0.8196 0.6189 0.8196 0.9053
No log 5.4902 280 0.7413 0.6001 0.7413 0.8610
No log 5.5294 282 0.6785 0.6526 0.6785 0.8237
No log 5.5686 284 0.6425 0.6936 0.6425 0.8016
No log 5.6078 286 0.6433 0.6916 0.6433 0.8021
No log 5.6471 288 0.6451 0.6821 0.6451 0.8032
No log 5.6863 290 0.6635 0.6690 0.6635 0.8146
No log 5.7255 292 0.6810 0.6623 0.6810 0.8252
No log 5.7647 294 0.6546 0.6774 0.6546 0.8091
No log 5.8039 296 0.6374 0.7130 0.6374 0.7984
No log 5.8431 298 0.6527 0.6854 0.6527 0.8079
No log 5.8824 300 0.6739 0.6484 0.6739 0.8209
No log 5.9216 302 0.6861 0.6431 0.6861 0.8283
No log 5.9608 304 0.6720 0.6773 0.6720 0.8197
No log 6.0 306 0.6711 0.7085 0.6711 0.8192
No log 6.0392 308 0.6737 0.7272 0.6737 0.8208
No log 6.0784 310 0.6842 0.7451 0.6842 0.8272
No log 6.1176 312 0.6791 0.7249 0.6791 0.8241
No log 6.1569 314 0.7195 0.6167 0.7195 0.8482
No log 6.1961 316 0.7932 0.6434 0.7932 0.8906
No log 6.2353 318 0.8314 0.6505 0.8314 0.9118
No log 6.2745 320 0.9574 0.6174 0.9574 0.9785
No log 6.3137 322 0.9905 0.6065 0.9905 0.9953
No log 6.3529 324 0.9559 0.6359 0.9559 0.9777
No log 6.3922 326 0.7987 0.6539 0.7987 0.8937
No log 6.4314 328 0.6734 0.6586 0.6734 0.8206
No log 6.4706 330 0.6530 0.7026 0.6530 0.8081
No log 6.5098 332 0.6469 0.7033 0.6469 0.8043
No log 6.5490 334 0.6669 0.6661 0.6669 0.8166
No log 6.5882 336 0.7271 0.6342 0.7271 0.8527
No log 6.6275 338 0.8004 0.6229 0.8004 0.8947
No log 6.6667 340 0.7765 0.6274 0.7765 0.8812
No log 6.7059 342 0.7134 0.6342 0.7134 0.8446
No log 6.7451 344 0.6531 0.6969 0.6531 0.8081
No log 6.7843 346 0.6532 0.6969 0.6532 0.8082
No log 6.8235 348 0.6596 0.6969 0.6596 0.8122
No log 6.8627 350 0.6633 0.6969 0.6633 0.8144
No log 6.9020 352 0.6646 0.6969 0.6646 0.8153
No log 6.9412 354 0.6516 0.7064 0.6516 0.8072
No log 6.9804 356 0.6534 0.7059 0.6534 0.8083
No log 7.0196 358 0.6642 0.6969 0.6642 0.8150
No log 7.0588 360 0.7155 0.6160 0.7155 0.8459
No log 7.0980 362 0.7980 0.5960 0.7980 0.8933
No log 7.1373 364 0.8150 0.6168 0.8150 0.9028
No log 7.1765 366 0.8115 0.6103 0.8115 0.9008
No log 7.2157 368 0.7435 0.6244 0.7435 0.8623
No log 7.2549 370 0.6864 0.6603 0.6864 0.8285
No log 7.2941 372 0.6658 0.6949 0.6658 0.8160
No log 7.3333 374 0.6581 0.6881 0.6581 0.8112
No log 7.3725 376 0.6483 0.6990 0.6483 0.8052
No log 7.4118 378 0.6439 0.7012 0.6439 0.8025
No log 7.4510 380 0.6421 0.6944 0.6421 0.8013
No log 7.4902 382 0.6459 0.6902 0.6459 0.8037
No log 7.5294 384 0.6589 0.6709 0.6589 0.8117
No log 7.5686 386 0.6932 0.6279 0.6932 0.8326
No log 7.6078 388 0.7188 0.6263 0.7188 0.8478
No log 7.6471 390 0.7204 0.6209 0.7204 0.8487
No log 7.6863 392 0.6956 0.6334 0.6956 0.8341
No log 7.7255 394 0.6719 0.6570 0.6719 0.8197
No log 7.7647 396 0.6501 0.6962 0.6501 0.8063
No log 7.8039 398 0.6465 0.6962 0.6465 0.8041
No log 7.8431 400 0.6602 0.6595 0.6602 0.8125
No log 7.8824 402 0.6712 0.6609 0.6712 0.8193
No log 7.9216 404 0.6975 0.6419 0.6975 0.8351
No log 7.9608 406 0.7136 0.6143 0.7136 0.8447
No log 8.0 408 0.6848 0.6382 0.6848 0.8275
No log 8.0392 410 0.6605 0.6695 0.6605 0.8127
No log 8.0784 412 0.6655 0.6677 0.6655 0.8158
No log 8.1176 414 0.6524 0.6859 0.6524 0.8077
No log 8.1569 416 0.6392 0.6969 0.6392 0.7995
No log 8.1961 418 0.6471 0.6969 0.6471 0.8045
No log 8.2353 420 0.6662 0.6597 0.6662 0.8162
No log 8.2745 422 0.6714 0.6597 0.6714 0.8194
No log 8.3137 424 0.6781 0.6189 0.6781 0.8235
No log 8.3529 426 0.6806 0.6189 0.6806 0.8250
No log 8.3922 428 0.6623 0.6653 0.6623 0.8138
No log 8.4314 430 0.6517 0.7076 0.6517 0.8073
No log 8.4706 432 0.6643 0.6700 0.6643 0.8151
No log 8.5098 434 0.6695 0.6587 0.6695 0.8182
No log 8.5490 436 0.6701 0.6587 0.6701 0.8186
No log 8.5882 438 0.6786 0.6382 0.6786 0.8238
No log 8.6275 440 0.6924 0.6133 0.6924 0.8321
No log 8.6667 442 0.7010 0.6133 0.7010 0.8373
No log 8.7059 444 0.6987 0.6133 0.6987 0.8359
No log 8.7451 446 0.6714 0.6328 0.6714 0.8194
No log 8.7843 448 0.6663 0.6548 0.6663 0.8162
No log 8.8235 450 0.6805 0.6267 0.6805 0.8249
No log 8.8627 452 0.6945 0.6305 0.6945 0.8334
No log 8.9020 454 0.7166 0.6218 0.7166 0.8465
No log 8.9412 456 0.7307 0.6212 0.7307 0.8548
No log 8.9804 458 0.7371 0.6212 0.7371 0.8586
No log 9.0196 460 0.7330 0.6212 0.7330 0.8561
No log 9.0588 462 0.7208 0.6171 0.7208 0.8490
No log 9.0980 464 0.7067 0.6218 0.7067 0.8406
No log 9.1373 466 0.6883 0.6305 0.6883 0.8296
No log 9.1765 468 0.6787 0.6313 0.6787 0.8238
No log 9.2157 470 0.6759 0.6313 0.6759 0.8221
No log 9.2549 472 0.6830 0.6305 0.6830 0.8264
No log 9.2941 474 0.6921 0.6218 0.6921 0.8319
No log 9.3333 476 0.6995 0.6218 0.6995 0.8364
No log 9.3725 478 0.7022 0.6218 0.7022 0.8380
No log 9.4118 480 0.7111 0.6218 0.7111 0.8433
No log 9.4510 482 0.7235 0.6157 0.7235 0.8506
No log 9.4902 484 0.7320 0.6157 0.7320 0.8556
No log 9.5294 486 0.7324 0.6157 0.7324 0.8558
No log 9.5686 488 0.7299 0.6157 0.7299 0.8544
No log 9.6078 490 0.7186 0.6157 0.7186 0.8477
No log 9.6471 492 0.7087 0.6218 0.7087 0.8419
No log 9.6863 494 0.6990 0.6218 0.6990 0.8361
No log 9.7255 496 0.6925 0.6212 0.6925 0.8322
No log 9.7647 498 0.6854 0.6305 0.6854 0.8279
0.4025 9.8039 500 0.6811 0.6320 0.6811 0.8253
0.4025 9.8431 502 0.6801 0.6421 0.6801 0.8247
0.4025 9.8824 504 0.6800 0.6421 0.6800 0.8246
0.4025 9.9216 506 0.6804 0.6421 0.6804 0.8249
0.4025 9.9608 508 0.6810 0.6421 0.6810 0.8252
0.4025 10.0 510 0.6812 0.6421 0.6812 0.8254

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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